in whether their crowdfunding campaigns can meet fundraising goals. We aim to develop novel algorithms to provide …Medical crowdfunding has seen rapid growth in recent years and it has become a popular channel for people needing … accurate and timely predictions of fundraising performance, to better inform fundraisers. For this purpose, we use a …

crowdfunding ventures. This is done by applying standard economic theory and machine learning techniques from computer science to … analyzes transaction-level data in addition to information about completed crowdfunding projects. This provides an unique … crowdfunding campaign at any point throughout its duration. These ndings prove that a number of product and project specifi c …

. Design/methodology/approach – I identify anomalies in equity crowdfunding offerings' financial statements that diverge from … statistic and MAD statistic of divergent equity crowdfunding firms in the study to other public companies. Findings – Regulation … Crowdfunding firms are more at risk for fraudulent financial reporting than other public firms. Startups are a higher fraud risk …

This paper analyzes a large dataset of 2,171 equity crowdfunding campaigns launched between the years 2012 and 2017 on … two of the world's largest platforms Crowdcube and Seedrs. Our data shows that the equity crowdfunding market has matured … information that is available at the time of the campaign (e.g., retained equity, external fundraising before the campaign …